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PRL
2007
138views more  PRL 2007»
14 years 11 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
101
Voted
ICPR
2008
IEEE
15 years 6 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
SDM
2008
SIAM
95views Data Mining» more  SDM 2008»
15 years 1 months ago
Deterministic Latent Variable Models and Their Pitfalls
We derive a number of well known deterministic latent variable models such as PCA, ICA, EPCA, NMF and PLSA as variational EM approximations with point posteriors. We show that the...
Max Welling, Chaitanya Chemudugunta, Nathan Sutter
ICMCS
2010
IEEE
150views Multimedia» more  ICMCS 2010»
14 years 11 months ago
H.264 stream replacement watermarking with CABAC encoding
This paper describes a watermarking method to directly embed information into a CABAC entropy coded H.264/AVC stream. In theory, modification of a part of an arithmetically coded ...
Dekun Zou, Jeffrey A. Bloom
112
Voted
ICML
2001
IEEE
16 years 13 days ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...